TY - GEN
T1 - Beyond cognitive ability
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
AU - Lee, Sian
AU - Forrest, Joshua P.
AU - Strait, Jessica
AU - Seo, Haeseung
AU - Lee, Dongwon
AU - Xiong, Aiping
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - We conducted a preliminary online study (N=261) investigating whether people's susceptibility to fake news on social media depends on how fake news are associated with real news that they viewed previously, as well as individuals' cognitive ability. Across two phases, we varied the association in three between-subjects conditions, i.e., associative inference, repetition, and irrelevant (control). Our study results showed limited impact of association type on participants of low cognitive ability. In contrast, for participants of high cognitive ability, their discrimination of fake news from real news tended to be worse for the associative inference condition than for the other two conditions. Thus, our findings suggest that individuals of high cognitive ability are likely to be susceptible to form the belief of fake news, but differently from those of low cognitive ability.
AB - We conducted a preliminary online study (N=261) investigating whether people's susceptibility to fake news on social media depends on how fake news are associated with real news that they viewed previously, as well as individuals' cognitive ability. Across two phases, we varied the association in three between-subjects conditions, i.e., associative inference, repetition, and irrelevant (control). Our study results showed limited impact of association type on participants of low cognitive ability. In contrast, for participants of high cognitive ability, their discrimination of fake news from real news tended to be worse for the associative inference condition than for the other two conditions. Thus, our findings suggest that individuals of high cognitive ability are likely to be susceptible to form the belief of fake news, but differently from those of low cognitive ability.
UR - http://www.scopus.com/inward/record.url?scp=85090186813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090186813&partnerID=8YFLogxK
U2 - 10.1145/3334480.3383077
DO - 10.1145/3334480.3383077
M3 - Conference contribution
AN - SCOPUS:85090186813
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -